Machine Learning-Based Prediction of Functional Disability: a Cohort Study of Japanese Older Adults in 2013-2019.

Lu, Yongjian; Sato, Koryu; Nagai, Masato; Miyatake, Hirokazu; Kondo, Katsunori; Kondo, Naoki

Lu, Yongjian; Sato, Koryu; Nagai, Masato; Miyatake, Hirokazu; Kondo, Katsunori; Kondo, Naoki.

Afiliación

Lu Y; , Tokyo, Japan.
Sato K; Department of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan. sato.koryu.8i@kyoto-u.ac.jp.
Nagai M; Department of Hygiene and Public Health, Osaka Medical and Pharmaceutical University, Osaka, Japan.
Miyatake H; Mitsubishi Research Institute, Inc., Tokyo, Japan.
Kondo K; Department of Social Preventive Medical Sciences, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Kondo N; Department of Gerontological Evaluation, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.

J Gen Intern Med ; 38(11): 2486-2493, 2023 08.

Article en En | MEDLINE | ID: mdl-37127751

Asunto(s)

Evaluación de la Discapacidad; Vida Independiente; Rendimiento Físico Funcional; Anciano; Humanos; Estudios de Cohortes; Pueblos del Este de Asia; Aprendizaje Automático; Encuestas y Cuestionarios

Palabras clave

Japanese older adults; functional disability; machine learning; prediction model

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Evaluación de la Discapacidad / Vida Independiente / Rendimiento Físico Funcional Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans Idioma: En Revista: J Gen Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2023 Tipo del documento: Article País de afiliación: Japón

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